Resources · AI Search Strategy and SEO

What Does GEO (Generative Engine Optimization) Mean for AI Visibility and Citations?

GEO, or generative engine optimization, is the work of making a business visible, cited and accurately described in answers written by AI systems. That includes ChatGPT, Gemini, Claude, Perplexity and Google's AI Overviews and AI Mode. In practice, it means making your content easy for these systems to find, trust and quote. It also means being present on the other sites they draw on, and checking what they actually say about you. It builds on SEO rather than replacing it, and it has two distinct goals: being used as a source, and being named or recommended.

Does GEO mean generative engine optimization or geographic targeting?

Both uses exist, so context matters:

  • Generative engine optimization is the meaning in most AI search and marketing discussions today.
  • Geographic targeting ("geo-targeting") is an older term in advertising and local SEO, meaning showing content or ads to people in particular places.

If a proposal, tool or job advert says "GEO", check which one it means. Local businesses in particular may hear both, since AI visibility for local questions also depends on location. The two overlap in practice: a local business doing generative engine optimization has to think about how answers change by town and neighbourhood.

Where did the term GEO come from?

The term was introduced in a 2023 research paper, "GEO: Generative Engine Optimization", which studied how content changes affect visibility in answers from generative search engines. It found that adding quotations, statistics and citations to credible sources improved visibility on its benchmark, while keyword stuffing did not. Other labels, such as AEO and LLMO, describe largely the same work; how they relate to SEO is covered in the difference between SEO, AEO and GEO.

What does Google say about GEO?

Google addresses the terms directly in its guide to optimising for generative AI features in Search. It says that from Google Search's perspective, optimising for generative AI search is optimising for the search experience, "and thus still SEO", because its AI features are rooted in its core ranking and quality systems. Google also lists things you do not need to do for its AI features. You do not need llms.txt files or other special machine-readable files, which Google Search ignores, nor special markup, and you should not seek inauthentic mentions. It points readers considering third-party GEO advice to its guidance on evaluating SEO advice. See Google's guide to optimizing for generative AI features.

That view covers Google's own AI features. Other assistants use different search systems and sources, which is why GEO work usually looks beyond Google.

What does GEO add to classic SEO?

The foundation is shared, but the focus widens:

Classic SEO focus Added in GEO
Where you appear Google's ranked results AI answers across several engines
Main outcome Rankings and clicks Being cited, named and recommended, accurately
Unit of measurement Keyword position Share of answers over repeated runs
Sources that matter Your pages and links to them Your pages plus the third-party pages engines cite
Risks watched Ranking drops Wrong facts, competitor displacement, confusion with other brands
Crawlers checked Mainly Googlebot and Bingbot Also AI companies' search and user-request crawlers

How does GEO affect citations versus recommendations?

GEO has two outcomes, and they need different work:

  • Citations: your pages are used as sources. This depends on crawler access, clear answer-first content, specific facts and relevance to the questions asked.
  • Recommendations: your business is named as a good choice. This depends more on third-party evidence, such as reviews, lists, directories and coverage, and on a clear statement of who you are best for.

A site can be cited often and recommended rarely, or the reverse. Good GEO measurement tracks both; see the difference between being cited and being recommended by AI.

What does GEO work involve in practice?

  • Access: making sure AI and search crawlers can fetch and read key pages.
  • Content: pages that answer buyer questions directly, with specifics and conditions, and original information others lack.
  • Entity clarity: consistent name, category, location and facts everywhere.
  • Off-site presence: being included and accurately described on the reviews, directories, lists and publications engines cite.
  • Accuracy: finding and correcting wrong facts in AI answers at their source.
  • Measurement: tracking a fixed set of buyer questions across engines over time.

Which tactics have evidence behind them is covered in what GEO tactics can improve AI citation share and how to test them.

How do the main AI engines differ for GEO?

Engine Where answers mainly come from Biggest lever
Google AI Overviews and AI Mode Google's index and ranking systems Classic SEO plus clear, specific answers
Gemini Google Search and Google Maps data Google rankings and Business Profile
ChatGPT Its own search set-up and model knowledge Crawler access, cited third-party sources, clear pages
Perplexity Its own search and crawler Crawler access and presence on the sites it cites
Claude Web search when used, plus model knowledge Crawler access and independent coverage
Microsoft Copilot Bing's index Bing indexing and Bing Places

The same foundations help everywhere, but each engine rewards a slightly different mix, which is why GEO measures engines separately.

What does a first GEO project look like?

For most businesses, a sensible first project takes six to eight weeks:

  1. Baseline: run 20–30 buyer questions in the engines your customers use and record who is named, what is said about you and which sources are cited.
  2. Fix access and facts: unblock AI crawlers where needed and correct wrong facts at their sources.
  3. Fill the biggest content gaps: clear pages for the buyer questions you are missing from.
  4. Start on the most-cited third-party sources where competitors appear and you do not.
  5. Re-run the baseline and compare.

How is GEO measured?

Not by rankings. The usual measures are the share of answers that cite your pages and the share that name or recommend you, across repeated runs of a fixed question set. Accuracy of what engines say and your share against named competitors complete the picture. Business impact is assessed through AI referral traffic, branded search and customers who say they found you through an AI assistant.

What is GEO not?

  • Not a guarantee. Nobody controls what AI engines say, and no one can promise a top position.
  • Not a set of hacks. Special files, hidden text and keyword stuffing do not substitute for clear, useful content and genuine third-party presence.
  • Not fake mentions. Planting reviews or posts breaks platform rules and can breach consumer protection law, and Google warns against seeking inauthentic mentions.
  • Not a replacement for SEO. For Google's AI features in particular, SEO remains the foundation.

What do people ask about GEO?

Is GEO just SEO with a new name?

Partly. For Google's AI features, Google says it is still SEO. GEO adds attention to other engines, citations and recommendations in answers, third-party sources and accuracy, which classic SEO did not emphasise.

Is AEO different from GEO?

The terms are often used interchangeably. AEO tends to emphasise direct answers and featured-answer formats; GEO tends to emphasise generative AI engines. The practical work overlaps heavily.

Who needs GEO?

Any business whose buyers research with AI assistants: especially B2B, software, professional services, local services and ecommerce categories with many comparison questions.

How long does GEO take to work?

Fixes to access and facts can show in weeks for engines that search the web; broader recommendations usually take months.

Published by The Kovmere Team · updated Sep 28, 2026 · More resources